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Impact of Uncertainties in Exposure Assessment on Estimates of Thyroid Cancer Risk among Ukrainian Children and Adolescents Exposed from the Chernobyl Accident

Author

Listed:
  • Mark P Little
  • Alexander G Kukush
  • Sergii V Masiuk
  • Sergiy Shklyar
  • Raymond J Carroll
  • Jay H Lubin
  • Deukwoo Kwon
  • Alina V Brenner
  • Mykola D Tronko
  • Kiyohiko Mabuchi
  • Tetiana I Bogdanova
  • Maureen Hatch
  • Lydia B Zablotska
  • Valeriy P Tereshchenko
  • Evgenia Ostroumova
  • André C Bouville
  • Vladimir Drozdovitch
  • Mykola I Chepurny
  • Lina N Kovgan
  • Steven L Simon
  • Victor M Shpak
  • Ilya A Likhtarev

Abstract

The 1986 accident at the Chernobyl nuclear power plant remains the most serious nuclear accident in history, and excess thyroid cancers, particularly among those exposed to releases of iodine-131 remain the best-documented sequelae. Failure to take dose-measurement error into account can lead to bias in assessments of dose-response slope. Although risks in the Ukrainian-US thyroid screening study have been previously evaluated, errors in dose assessments have not been addressed hitherto. Dose-response patterns were examined in a thyroid screening prevalence cohort of 13,127 persons aged

Suggested Citation

  • Mark P Little & Alexander G Kukush & Sergii V Masiuk & Sergiy Shklyar & Raymond J Carroll & Jay H Lubin & Deukwoo Kwon & Alina V Brenner & Mykola D Tronko & Kiyohiko Mabuchi & Tetiana I Bogdanova & Ma, 2014. "Impact of Uncertainties in Exposure Assessment on Estimates of Thyroid Cancer Risk among Ukrainian Children and Adolescents Exposed from the Chernobyl Accident," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-9, January.
    • Handle: RePEc:plo:pone00:0085723
    DOI: 10.1371/journal.pone.0085723
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    References listed on IDEAS

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    1. Kukush Alexander & Shklyar Sergiy & Masiuk Sergii & Likhtarov Illya & Kovgan Lina & Carroll Raymond J & Bouville Andre, 2011. "Methods for Estimation of Radiation Risk in Epidemiological Studies Accounting for Classical and Berkson Errors in Doses," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-30, February.
    2. Claeskens,Gerda & Hjort,Nils Lid, 2008. "Model Selection and Model Averaging," Cambridge Books, Cambridge University Press, number 9780521852258.
    3. Daniel W. Schafer & Jay H. Lubin & Elaine Ron & Marilyn Stovall & Raymond J. Carroll, 2001. "Thyroid Cancer Following Scalp Irradiation: A Reanalysis Accounting for Uncertainty in Dosimetry," Biometrics, The International Biometric Society, vol. 57(3), pages 689-697, September.
    4. Chi Wang & Giovanni Parmigiani & Francesca Dominici, 2012. "Bayesian Effect Estimation Accounting for Adjustment Uncertainty," Biometrics, The International Biometric Society, vol. 68(3), pages 661-671, September.
    5. Sylvia Richardson & Laurent Leblond & Isabelle Jaussent & Peter J. Green, 2002. "Mixture models in measurement error problems, with reference to epidemiological studies," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(3), pages 549-566, October.
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    Cited by:

    1. Mark P Little & Deukwoo Kwon & Lydia B Zablotska & Alina V Brenner & Elizabeth K Cahoon & Alexander V Rozhko & Olga N Polyanskaya & Victor F Minenko & Ivan Golovanov & André Bouville & Vladimir Drozdo, 2015. "Impact of Uncertainties in Exposure Assessment on Thyroid Cancer Risk among Persons in Belarus Exposed as Children or Adolescents Due to the Chernobyl Accident," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-16, October.
    2. Daniel O Stram & Dale L Preston & Mikhail Sokolnikov & Bruce Napier & Kenneth J Kopecky & John Boice & Harold Beck & John Till & Andre Bouville, 2015. "Shared Dosimetry Error in Epidemiological Dose-Response Analyses," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-18, March.

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